Hi, welcome back.
And this lecture, we will discuss the concept of Pisin automation, suppose we have repetitive.
Tasks we do every day or every period of time, so you do it periodically so that you want to automate
this task is to save time and effort.
Like for us, the digital age we live and offers a smart way to do that, using programming languages
as Python.
So you can use Python to perform these repetitive tasks automatically, as a result, you will divide
your workload into smaller tasks and write a code and bison's that can automate them, or at least some
of them.
But the question is why we use Python for automation of our work tasks.
The answer is that Python offers great tools of libraries and python more approachable than other language.
Also syntax of Python that similar to English exhibition.
All of that make Python an excellent choice to use and desk to mention.
Also, Python has an advantage over that.
It let you create your own data structures using less.
This dictionary sets and tables.
This data structure well make you can install and exit data.
Also, you can manage your data easily and efficiently.
And if you use less useable data types and your programs, this will make your program or software run
faster so that all of that will maintain the performance of your software.
You can automate lots of tasks like sending emails, read and write from lots of file for me like C
as V's and FS files.
Daley is grab specific data.
Like weather forecasts from specific weather forecasting website and currency or currencies change rate
from the currency exchange rate websites.
Bison has tons of laborer's like pandas used for management and analysis of data, the jungle used for
web development, beautiful zoo and request is used for web scraping.
Mirror and sockets used for Internet of Things, hadal or Hadoop.
Used for big data, cycler, used for machine learning.
Pygame used for games, turtle library used for drawing things like squares, circles and so on, Python
has also a library called Take Enters, which used for guey or a graphical user interface.
Python can be also used for image processing using offensive library.
Some of these Python libraries or modules will need to be discussed in details in another sections or
will be discussed in the next sections.
Because the next projects section we will apply these concepts and try to use Python for task force
automation or scripting.
And we will do that through learning, by doing real world projects.
And we can use NIAMBI and random modules or libraries for numbers manipulating and statistics and probabilities.
Also, we can use python and bison is powerful in this section.
Deep learning.
By using tenths of law library.
At this moment, we reach the end of this lecture.
Hope you enjoyed this lecture and to get all of that.
Thanks for being here.
And thanks for watching.
See you next lecture.